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I want to turn the concept below into a production-ready platform that any Kenyan resident can open on a phone or browser and immediately see an accurate, easy-to-read forecast for rainfall, temperature, and wind speed. Behind the scenes the system should fuse ENSO indicators (especially the ONI index) with historical station data and real-time feeds, run them through Random Forest, Gradient Boosting, and Logistic Regression models, and serve county- and town-level predictions.

Scope of work
• Data pipeline – ingest, clean, and store global ENSO metrics, satellite observations, and local station readings in a way that is ready for modelling and always current.
• Model development – train, validate, and compare the three algorithms above; document feature importance and performance; expose the chosen ensemble through a REST/GraphQL API.
• Web + mobile front ends – one responsive website and companion mobile apps (Android & iOS) that call the API, display intuitive Grafana-style dashboards, and push real-time alerts.
• Risk analytics – highlight drought, flood, and other extreme-weather probabilities for all 47 counties.
• Subscription engine – let users pick counties or towns and receive SMS/e-mail/app notifications when thresholds are crossed.
• DevOps – containerised deployment (Docker/Kubernetes preferred), CI/CD setup, and monitoring so the service stays resilient during severe events.

Deliverables
1. Source-controlled code for data ingestion, modelling, and API.
2. Trained models with reproducibility documentation.
3. Responsive website and published Android/iOS apps.
4. Grafana dashboards wired to live data.
5. Alerting and subscription module.
6. Deployment scripts and runbook.

Acceptance criteria
– Forecasts for rainfall, temperature, and wind speed update at least hourly and achieve agreed-upon accuracy benchmarks for each county.
– Front ends load in under 3 s on 3G connections.
– Alerts arrive within 2 minutes of a trigger event.
– Full hand-over with documentation and a walk-through session.

If you have a proven record in climate data science, scalable back-end engineering, and cross-platform UI, I’m ready to review your approach and timeline.

Skills: Python, Machine Learning (ML), PostgreSQL, Data Science, Docker, Web Development, Scikit Learn, Predictive Analytics, FastAPI

Job Title: Apache Kafka Engineer / Administrator – Long-Term Remote Contract (India/Pakistan Preferred)
Project Overview
We are seeking an experienced Apache Kafka Engineer to join our remote team on a long-term contract basis. The selected freelancer will support enterprise-grade data streaming, event-driven architecture, and system integration initiatives for a large-scale program. This is an excellent opportunity for skilled Kafka professionals looking for stable, ongoing remote work with strong potential for rate growth based on demonstrated performance.
Engagement Type: Long-term, Full-time (40 hours/week)
Start Date: July 2026
Location: Remote (India or Pakistan preferred)
Working Hours: Flexibility required; some overlap with US business hours expected
Compensation Structure

Months 1–2 (Evaluation Period): USD $500/month
Month 3 onwards: Increase to $750–$1,000/month based on demonstrated skills, performance, and contribution
Performance reviews conducted after the initial 60 days
Stable, long-term engagement for the right candidate

Key Responsibilities

Design, build, administer, and maintain Apache Kafka clusters across development, test, and production environments
Manage Kafka topics, partitions, brokers, replication, retention policies, and access controls
Monitor Kafka performance, availability, throughput, and latency; proactively troubleshoot issues
Perform capacity planning, tuning, upgrades, patching, and disaster recovery activities
Develop and support event streaming pipelines for real-time and near-real-time data processing
Integrate Kafka with API Gateways (APIGW), microservices, and backend systems
Implement Kafka producers, consumers, and Kafka Connect connectors for ETL and data movement
Collaborate with development teams to define event schemas, topics, and data contracts
Apply Kafka security best practices: authentication, authorization, encryption, and auditing
Document Kafka architectures, configurations, and operational procedures

Required Skills & Experience

3+ years of hands-on experience administering and developing with Apache Kafka in enterprise environments
Strong experience managing Kafka clusters, topics, partitions, and event streaming pipelines
Solid understanding of event-driven architectures, messaging patterns, and data streaming concepts
Experience integrating Kafka with microservices and API Gateways
Proficiency in Linux-based environments and command-line administration
Strong troubleshooting and performance tuning skills
Excellent written and spoken English communication
Reliable internet connection and professional remote work setup

Preferred Skills (Bonus)

Experience with AWS MSK or other managed Kafka services
Familiarity with Kafka Schema Registry
Experience with monitoring tools: Prometheus, Grafana, CloudWatch
Knowledge of Docker, Kubernetes, and container orchestration
CI/CD pipeline experience (Jenkins, GitLab CI, etc.)
Experience in Agile/Scrum environments
DevSecOps exposure

What We're Looking For

A self-motivated professional who can work independently with minimal supervision
Strong problem-solving mindset and attention to detail
Commitment to a long-term engagement (minimum 12 months)
Availability to start in July 2026

How to Apply
Please submit your proposal including:

A brief summary of your Kafka experience (highlight years and project scale)
2–3 specific Kafka projects you've worked on, including your role and the technologies used
Your current time zone and weekly availability
Confirmation that you accept the proposed compensation structure ($500/month for the first 2 months, with increases based on performance)
Answers to these screening questions:

How many Kafka clusters have you administered, and what was the largest scale (brokers/topics/throughput)?
Describe a complex Kafka issue you troubleshot and how you resolved it.
Have you integrated Kafka with API Gateways or microservices? Please describe.



Note: Candidates will be required to complete a short technical screening (video interview + practical questions) before being awarded the project. Only serious, long-term candidates should apply.

Skills: Linux, Data Processing, Docker, Kubernetes, ETL, API Integration, Microservices, Apache Kafka, Performance Tuning, CI/CD

Nous recherchons un Ingénieur DevOps Linux Senior pour construire le socle technique sécurisé de notre organisation IA native en phase de structuration.

L'objectif est de mettre en place une infrastructure cloud évolutive, souveraine, sécurisée et documentée, capable d'accueillir à terme une architecture de connaissance, des bases documentaires métier, des services d'intelligence artificielle, une mémoire organisationnelle et des agents IA. L'infrastructure devra être conçue dès l'origine pour permettre l'évolution progressive vers une organisation IA native cible reposant sur :

Une Bibliothèque documentaire interne
→ Capitalisation de la connaissance collective

Une GED métier
→ Gestion documentaire des applications, clients et partenaires

Une Base de données métier
→ Stockage des informations structurées de l'organisation

Une Mémoire IA
→ Recherche sémantique et exploitation de la connaissance

Un Cerveau numérique
→ Cartographie des concepts, décisions et savoir-faire

Une Automatisation
→ Exécution des processus métier

Des Agents IA
→ Assistance, analyse, recherche, synthèse et production

Des Portails et applications
→ Services numériques destinés aux collaborateurs, clients, partenaires et communautés.

La mission est structurée ne 4 lots, soit une mission initiale forfaitisée de 12 jours. Puis maintenance optionnelle : 0,5 à 1 jour/mois.

Lot 1 – Infrastructure fondatrice (charge estimée 3 à 5 jours) : Configuration du serveur OVH, Sécurisation Ubuntu Server, Configuration du pare-feu, Gestion des accès SSH, Installation des certificats SSL, Configuration DNS et sous-domaines, Mise en place des sauvegardes automatisées, Paramétrage des services e-mail du domaine, Installation et configuration du CMS Drupal.
Livrables attendus : Documentation d'installation, Procédure de restauration, Politique de sauvegarde, Schéma d'architecture technique, Guide d'administration.

Lot 2 – Bibliothèque documentaire sécurisée GED interne (charge estimée 3 à 5 jours) : Déploiement de Nextcloud, Installation PostgreSQL, Configuration des utilisateurs, Gestion des groupes et droits d'accès, Structuration des espaces documentaires, Mise en place du versioning, Configuration des mécanismes de partage, Définition des espaces par niveau de confidentialité, Mise en œuvre des bonnes pratiques de gouvernance documentaire.
Exemples de contenus attendus : Stratégie, Gouvernance, Juridique, Finance, Référentiels métier, Procédures, Formation, Documentation technique.

Lot 3 – GED métier et évolutivité (charge estimée 2 à 3 jours) : Déploiement de MinIO, Configuration du stockage objet, Gestion des accès et permissions, Définition de la stratégie de stockage documentaire métier, Préparation de l'intégration avec les futures applications front-office, Structuration des métadonnées documentaires dans PostgreSQL.
Exemples de contenus : Contrats clients, Factures, Dossiers de candidature, Livrables, Documents de mission, Pièces justificatives, Rapports, Contenus produits par les applications.

Lot 4 – Monitoring et évolutivité (charge estimée 2 à 3 jours) : Installation Grafana, Surveillance système, Journalisation, Documentation technique, Procédures de reprise et restauration, Maintenance et support ponctuel.

Le candidat idéal aura une solide expérience en administration de systèmes Linux et en pratiques DevOps, avec la capacité de concevoir et de mettre en œuvre des systèmes efficaces.
La maitrise du Français et une expérience complémentaire sur Qdrant, LangGraph, n8n, Ollama ou les architectures IA sera appréciée mais n'est pas indispensable.

Ce rôle consiste à garantir une grande disponibilité, une grande scalabilité et la sécurité de nos systèmes.

• Please list any certifications related to this project
• How do you create a dependency map for systems operating in multi-tier architecture?
• How do you operationalize your projects?

Zabbix, Grafana, GLPI, OpenNMS Integration
I'm looking to integrate Zabbix, Grafana, GLPI using Victoria Matrix to execute alert and network management. The project involves connecting these systems to streamline data visualization, alert management, and asset management. - Integrate Zabbix for performance metrics, network events, and topology data synchronization. - Ensure seamless collaboration between Zabbix, Grafana, and GLPI. - Automate alerts and create unified dashboards for better oversight. Ideal skills include experience with hands on coding network databases like victoria matrix Zabbix, Grafana, and GLPI. Familiarity with coding and APIs and automation for these tools is crucial. Looking forward to your expertise to make this integration successful!
OpenNMS
API
Data Visualization
Automation
Asset Management
Software Development
Technical Support
Cloud Computing
Database Management
Coding

I'm looking to integrate Zabbix, Grafana, GLPI using Victoria Matrix to execute alert and network management. The project involves connecting these systems to streamline data visualization, alert management, and asset management.

- Integrate Zabbix for performance metrics, network events, and topology data synchronization.
- Ensure seamless collaboration between Zabbix, Grafana, and GLPI.
- Automate alerts and create unified dashboards for better oversight.

Ideal skills include experience with hands on coding network databases like victoria matrix Zabbix, Grafana, and GLPI. Familiarity with coding and APIs and automation for these tools is crucial. Looking forward to your expertise to make this integration successful!

Skills: Cloud Computing, Technical Support, Software Development, Coding, API, Data Visualization, Automation, Asset Management, Database Management, OpenNMS

We are building TeamChat, a workspace-based real-time team collaboration platform (similar to Slack). This role owns all infrastructure: AWS environments, CI/CD, observability, and scaling a stateful WebSocket workload. Architecture documents available for shortlisted candidates. One of 5 parallel roles; ongoing engagement as the product grows.

CORE RESPONSIBILITIES & SCOPE OF WORK

1. Environments: Dev / Staging / Prod on AWS via Terraform (IaC from day one). ECS Fargate (or EKS — propose with reasoning), RDS PostgreSQL, ElastiCache Redis, S3 + CloudFront, Route53, ACM.

2. WebSocket Scaling: ALB configuration for long-lived connections, graceful deploys without dropping connections (connection draining), horizontal scaling of gateway nodes with Redis pub/sub, load testing to 10,000+ concurrent connections.

3. CI/CD: GitHub Actions pipelines (lint, test, build, deploy) with preview environments per PR for backend + frontend, automated DB migrations with rollback strategy.

4. Observability: Centralized logs, metrics, traces (CloudWatch + Grafana/Prometheus or equivalent), alerting, uptime SLO dashboards, API cost monitoring for the AI services.

5. Security & Cost: IAM least-privilege, secrets management (SSM/Secrets Manager), VPC design, automated backups + tested restore runbook, monthly cost reporting and optimization. We expect you to keep infrastructure lean.

REQUIRED TECH STACK

- AWS (ECS/EKS, RDS, ElastiCache, S3, ALB)
- Terraform, Docker, GitHub Actions
- Monitoring: Prometheus/Grafana or CloudWatch
- Linux, bash

PROJECT DETAILS

- Engagement: Hourly, $13–$30/hr depending on experience. 30+ hrs/week initially; may taper to part-time maintenance after launch (ongoing).
- Process: Daily async standup (English, text), code review via GitHub PRs. At least 3–4 hours of overlap with JST (UTC+9).
- IP & Code: All infrastructure code in our GitHub org from day one; full ownership by us.
- Language: English required. Urdu-speaking developers welcome.

QUESTIONS TO ANSWER IN YOUR PROPOSAL

1. Describe an infrastructure you built and ran in production: traffic scale, monthly AWS cost, and one incident you handled end-to-end.
2. ECS Fargate vs EKS for our scale (early-stage, target 10k concurrent WebSocket connections) — which would you pick and why?
3. How do you deploy a new version of a WebSocket gateway without dropping live connections?
4. Timezone, weekly availability, proposed rate.
5. Start your proposal with the word TEAMCHAT.

We are looking for a highly experienced AI developer and automation specialist to help design, build, and manage AI-powered workflows across multiple business functions.

This role is for someone who has hands-on experience with modern AI tools, agents, and automation platforms such as OpenClaw, Hermes, OpenAI, Anthropic Claude, Copilot, workflows, n8n, API integrations, voice AI, and related AI development tools.

The goal is to automate workload off staff, automate manual processes, improve operational efficiency, and help organizations use AI in practical, measurable ways.

This person will help build automations and integrations across many areas, including:
Marketing Automation
• Automating marketing campaigns, content workflows, follow-ups, lead nurturing, and outreach
• Integrating AI with CRM, email platforms, social media, websites, and reporting tools
• Creating AI-assisted workflows for campaign planning, execution, and analytics
Administrative and Operational Automation
• Integrate with the Microsoft 365 platform is a must
• Automating routine administrative tasks, data entry, follow-ups, reminders, document processing, and reporting
• Building workflows that reduce manual handoffs and prevent tasks from falling through the cracks
Voice AI and Call Automation
• Setting up AI agents to answer calls, route calls, collect information, schedule appointments, and handle common requests
• Building call workflows for patient reminders, appointment confirmations, rescheduling, and payment collection
• Integrating voice AI with CRMs, scheduling platforms, EMRs, and payment systems where appropriate
IT Help Desk and Internal Support
• Automating IT support requests, ticket routing, troubleshooting steps, and knowledge-base responses
• Creating workflows for employee onboarding, offboarding, access requests, equipment tracking, and account provisioning
• Integrating AI with help desk systems, Microsoft 365, identity platforms, documentation tools, and ticketing systems
Healthcare and Health Center Workflows
• Working with health centers to automate operational and patient-facing workflows
• Setting up integrations with EMRs, scheduling systems, call platforms, billing/payment systems, and patient communication tools
• Creating compliant workflows for appointment confirmations, rescheduling, outreach, follow-ups, payments, and internal task management
• Understanding healthcare privacy, security, and compliance requirements, including HIPAA-aware workflows
Reporting
• Creating dashboards and systems to track automation performance and business impact
• Using tools such as PowerBI & Grafana

Ideal Candidate:
We are looking for someone who is not just a developer, but a strong problem solver and project owner. You should be able to understand business needs, ask the right questions to design the ideal solutions, build it, test it, document it, and communicate clearly with both technical and non-technical stakeholders.

You should have:
• Tremendous hands-on experience building AI automations and integrations
• Strong experience with APIs, webhooks, workflow automation platforms, and AI agents
• Experience with tools such as OpenAI, Copilot, Claude-style agents, Hermes, OpenClaw, n8n, Microsoft Power Automate, or similar platforms
• Experience integrating CRMs, EMRs, help desks, scheduling tools, phone systems, marketing tools, and business applications
• Strong understanding of prompt engineering, AI workflow design, and AI agent reliability
• Excellent English communication skills, both written and spoken
• Strong project management skills and the ability to keep projects organized
• The ability to document work clearly so others can maintain and understand the systems
• A proactive mindset and the ability to identify opportunities for automation without being told every detail
• Strong troubleshooting skills and the ability to test workflows thoroughly before deployment
• An understanding of security, privacy, and HIPAA compliance, especially in healthcare environments
• Reliability, accountability, and attention to detail
• The ability to communicate risks, limitations, timelines, and technical requirements clearly
• Experience working with healthcare organizations, FQHCs, CHCs, clinics, or medical practices is a major plus

Responsibilities:
• Review current workflows and build automation and AI to support it
• Recommend the best tools, platforms, and architecture for each use case
• Build and configure AI agents, integrations, and automated workflows
• Connect systems using APIs, webhooks, automation platforms, and custom code when needed
• Test automations for accuracy, reliability, security, and user experience
• Document all workflows, integrations, credentials needed, and maintenance steps
• Help train staff on how to use the new systems
• Provide ongoing improvements and support as workflows evolve
• Manage tasks, deadlines, and communication professionally

Important Qualities:
The right person must be very organized, detail-oriented, and able to manage multiple moving parts. We need someone who follows through, communicates proactively, and does not let tasks fall through the cracks. You should be comfortable working independently, asking the right questions, and translating business problems into reliable automation solutions.

Cloud Leader - DevOps (GCP and Automation)


Skill to Evaluate
GCP Cloud, Automation, Python, Jenkins, Terraform,Ansible,Cloud-Formation,Cloud-Run/Function,AWS-Lambda,Git-Hub,Git-Lab,Infra-Automation-(Cloud,-on-prem),AWS,GKE

Experience
8 to 10 Years

Budget: 1.2 LPM

Location
Mumbai, Maharashtra, India (No Relocation)

Job Description
The Senior Cloud Engineer (L3) will lead the design, implementation, automation, and security of cloud infrastructure on Google Cloud Platform. This role requires advanced technical expertise, strong architectural understanding, and the ability to guide teams in building secure, scalable, and automated cloud environments. The engineer will collaborate with cross‑functional teams to drive cloud modernization, enforce security standards, and optimize cloud operations.

Required Skills & Experience

8+ years of experience in cloud engineering, with at least 5+ years on Google Cloud Platform.
Deep expertise in GCP services: Compute, GKE, IAM, VPC, Cloud SQL, Cloud Storage, Cloud Functions.
Strong experience with Terraform, Ansible, or similar IaC tools.
Advanced scripting skills (Python, Bash).
Strong understanding of cloud security, IAM, encryption, network security, and compliance.
Experience designing and managing CI/CD pipelines.
Strong troubleshooting skills across networking, compute, storage, and Kubernetes.
Experience with monitoring tools (Stackdriver, Prometheus, Grafana, ELK).
Good to Have

GCP Professional certifications (PCA, Professional Cloud Security Engineer, DevOps Engineer).
Experience with multi‑cloud (AWS/Azure) or hybrid cloud.
Knowledge of SRE practices and reliability engineering.
Exposure to data security, DLP, and regulatory compliance in finance or healthcare.
Experience with service mesh (Istio), API gateways, or advanced networking.


create job post for freelancer app and no emoji and onsite Opportunity Mumbai

Here is a clean, professional job post tailored for a freelancer platform:

***

**Cloud Leader – DevOps (GCP & Automation) | Onsite – Mumbai**

We are looking for a highly skilled **Senior Cloud Engineer (L3)** to lead the design, automation, and security of cloud infrastructure on Google Cloud Platform. This is an onsite opportunity based in Mumbai, ideal for professionals with strong hands-on expertise in GCP and DevOps practices.

### Role Overview
You will be responsible for building and managing scalable, secure, and automated cloud environments while guiding teams and driving cloud modernization initiatives. The role involves close collaboration with cross-functional teams to enhance performance, reliability, and security.

### Key Responsibilities
- Design and implement scalable cloud architectures on GCP
- Lead infrastructure automation using Terraform, Ansible, or similar tools
- Develop and manage CI/CD pipelines using Jenkins, GitHub, or GitLab
- Ensure strong cloud security practices, including IAM, encryption, and compliance
- Manage Kubernetes workloads on GKE and troubleshoot complex infrastructure issues
- Monitor systems using tools like Stackdriver, Prometheus, Grafana, or ELK
- Support multi-cloud or hybrid cloud environments when required

### Required Skills
- 8–10 years of experience in cloud engineering
- Minimum 5 years of hands-on experience with Google Cloud Platform
- Strong expertise in GCP services: Compute Engine, GKE, IAM, VPC, Cloud SQL, Cloud Storage, Cloud Functions
- Experience with Terraform, Ansible, or similar Infrastructure as Code tools
- Proficiency in Python and Bash scripting
- Solid understanding of networking, security, and cloud architecture
- Experience with CI/CD pipeline design and implementation

### Good to Have
- GCP certifications (Professional Cloud Architect, DevOps Engineer, Security Engineer)
- Experience with AWS or Azure environments
- Knowledge of SRE practices and reliability engineering
- Exposure to compliance, data security, or regulated industries
- Experience with service mesh (Istio) or API gateways

### Job Details
- Experience: 8–10 Years
- Location: Mumbai, Maharashtra (Onsite, no relocation support)
- Budget: ₹1.2 Lakh per month
- Engagement Type: Freelance/Contract

Skills: Python, Google Cloud Platform, DevOps, Terraform

We are looking for an experienced DevOps Engineer to help manage, improve, and automate our cloud infrastructure on AWS.

The ideal candidate should have strong hands-on experience with Amazon EKS, Terraform, Kubernetes, CI/CD pipelines, and AWS cloud services. You will work on infrastructure provisioning, deployment automation, monitoring, security improvements, and production environment reliability.

Responsibilities:

Set up, manage, and optimize AWS infrastructure using Terraform
Configure and maintain Amazon EKS clusters
Deploy and manage Kubernetes workloads
Build or improve CI/CD pipelines
Implement infrastructure as code best practices
Configure monitoring, logging, and alerting
Improve cloud security, scalability, and cost efficiency
Troubleshoot deployment and infrastructure issues
Document setup, processes, and changes clearly

Required Skills:

Strong experience with AWS
Hands-on experience with Amazon EKS
Strong Terraform experience
Kubernetes and Docker experience
CI/CD experience using GitHub Actions, GitLab CI, Jenkins, or similar tools
Good understanding of networking, IAM, VPC, security groups, and load balancers
Experience with monitoring/logging tools such as CloudWatch, Prometheus, Grafana, or ELK
Ability to troubleshoot production issues independently

Preferred Skills:

Helm chart experience
Argo CD or GitOps experience
AWS cost optimization experience
Security and compliance best practices
Experience working with production-grade SaaS platforms

Project Type: Ongoing or project-based
Experience Level: Intermediate to Expert
Availability: Please mention your weekly availability
Start Date: Immediate

To Apply:

Please share:

Your experience with AWS EKS and Terraform
Examples of similar DevOps projects you have completed
Your preferred CI/CD tools
Your hourly rate or fixed project estimate
Your availability to start

We are looking for someone reliable, detail-oriented, and able to communicate clearly.

I have a production-ready Node.js application backed by PostgreSQL and now need a complete, automated DevOps workflow on AWS. Everything must live in the cloud, and I specifically want the workload to run on EC2 instances and/or an ECS or EKS cluster—no Lambda in this stack.

The assignment covers the full lifecycle: infrastructure provisioning, build and test automation, continuous delivery, monitoring, and rollback strategy. Infrastructure-as-code (Terraform or CloudFormation) is essential so I can reproduce the environment from scratch. A secure, highly available Postgres setup—preferably Amazon RDS with multi-AZ—is required, alongside a VPC, subnets, and the usual security groups.

Please containerise the Node service, wire up a CI pipeline (GitHub Actions, GitLab CI, or CodeBuild/CodePipeline—whichever you believe suits the stack best), and have every push to the main branch trigger a build, unit tests, an image push to ECR, and a deploy to the running ECS/EKS service or EC2 autoscaling group.

Deliverables
• IaC scripts for all AWS resources (EC2/ECS/EKS, networking, RDS, IAM)
• Dockerfile and app container images stored in ECR
• CI/CD pipeline definition with automated tests and zero-downtime deploys
• CloudWatch (or Prometheus/Grafana) metrics, basic alerts, and log aggregation
• A concise README explaining how to spin everything up, promote between environments, and perform a rollback

Work is done when I can run the IaC, commit code, and watch the service roll out end-to-end with no manual intervention.

Skills: Linux, NoSQL Couch & Mongo, Amazon Web Services, Node.js, PostgreSQL, Docker, DevOps, Terraform

- Terminar de Implementar Pipelines CI/CD en GitLab para construir y desplegar aplicaciones dockerizadas en base al uso de GitFlow.
- GitLab tiene que instalar paquetes de Microsoft (.net), por ende se debe gestionar GitLab para que resuelva los problemas de seguridad SSL (colocando un Proxy en el contenedor) y al momento de compilar no genere algun error de seguridad.
- Uso de GitLab Container Registry para almacenar las imagenes generadas de las capas: Base de Datos, Backend y Frontend.
- Automatizar el despliegue de contenedores en Docker Swarn desde GitLab.
- Configurar Prometheus para la recolección de métricas de los contenedores, nodos y servicios.
- Crear Dashboard en Grafana que permitan visualizar la salud y el rendimiento de los despliegues.
- Integrar el monitoreo con el pipeline (ej. validaciones automáticas basadas en métricas post-despliegue).
- Documentar y explicar la arquitectura CI/CD y el stack de monitoreo al equipo de trabajo.

Parte de ese trabajo ya esta completado, la URGENCIA para las PROXIMAS HORAS es la resolucion de este punto:
- GitLab tiene que instalar paquetes de Microsoft (.net), por ende se debe gestionar GitLab para que resuelva los problemas de seguridad SSL (colocando un Proxy en el contenedor) y al momento de compilar no genere algun error de seguridad.
Y verificar los demas pasos y implementados.

- Finish implementing CI/CD pipelines in GitLab to build and deploy Dockerized applications using GitFlow.
- GitLab needs to install Microsoft (.NET) packages; therefore, GitLab must be managed to resolve SSL security issues (by placing a proxy in the container) and prevent security errors during compilation.
- Use GitLab Container Registry to store the generated images of the database, backend, and frontend layers.
- Automate container deployment toDocker Swarn from GitLab.
- Configure Prometheus to collect metrics from containers, nodes, and services.
- Create a Grafana dashboard to visualize the health and performance of deployments.
- Integrate monitoring with the pipeline (e.g., automatic validations based on post-deployment metrics).
- Document and explain the CI/CD architecture and monitoring stack to the team.

Part of that work is already complete; the URGENT issue to be solved in the next hours:
- GitLab needs to install Microsoft (.NET) packages. Therefore, GitLab must be configured to resolve SSL security issues (by placing a proxy in the container) so that no security errors are generated during compilation.

And the other steps must be verified and implemented.

*Experience:* 6+ Years
*Location:* Remote
*Employment Type:* 40 hours/week - $500/month salary (part of a larger development team)

## About ReSkill AI

ReSkill AI is an AI-powered enterprise platform focused on transforming businesses through intelligent automation, Large Language Models (LLMs), AI Agents, and scalable cloud-native solutions. We are looking for a highly skilled DevOps Engineer who can build, automate, and manage secure, scalable, and highly available infrastructure supporting AI-driven applications.

## Key Responsibilities

* Design, implement, and maintain scalable cloud infrastructure on AWS (preferred), Azure, or Google Cloud Platform.
* Build and manage CI/CD pipelines using tools such as GitHub Actions, GitLab CI, Jenkins, or Azure DevOps.
* Deploy and maintain containerized applications using Docker and Kubernetes.
* Manage Infrastructure as Code (IaC) using Terraform, CloudFormation, or Pulumi.
* Implement monitoring, logging, and observability using Prometheus, Grafana, ELK Stack, Datadog, CloudWatch, or similar platforms.
* Automate deployments, system provisioning, configuration management, and operational workflows.
* Optimize infrastructure performance, reliability, security, and cost.
* Collaborate with AI engineers to deploy and scale LLM-based applications and AI services.
* Support model serving infrastructure for open-source and commercial LLMs.
* Work closely with software engineering teams to improve deployment efficiency and release management.
* Implement backup strategies, disaster recovery procedures, and production support processes.
* Ensure compliance with security best practices, including IAM, secrets management, encryption, and vulnerability management.
* Participate in on-call production support and incident response when required.

## Required Qualifications

* Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent experience).
* Minimum 6 years of professional experience in DevOps or Site Reliability Engineering.
* Strong experience with AWS services such as EC2, ECS/EKS, Lambda, S3, RDS, IAM, CloudWatch, VPC, Route 53, and Auto Scaling.
* Hands-on experience with Docker and Kubernetes in production environments.
* Strong scripting skills in Bash, Python, or similar languages.
* Experience building CI/CD pipelines and deployment automation.
* Experience with Infrastructure as Code tools (Terraform preferred).
* Solid understanding of Linux administration and networking fundamentals.
* Experience with Git version control and branching strategies.
* Familiarity with security best practices and DevSecOps principles.

## Preferred AI/LLM Experience

* Understanding of Large Language Models (LLMs) and Generative AI architectures.
* Experience deploying inference servers such as vLLM, Ollama, Hugging Face Text Generation Inference (TGI), or similar technologies.
* Familiarity with vector databases such as Pinecone, Milvus, Weaviate, or pgvector.
* Understanding of Retrieval-Augmented Generation (RAG) architectures.
* Experience working with OpenAI APIs, Anthropic APIs, Google Gemini, or open-source models.
* Knowledge of GPU infrastructure, CUDA environments, and AI workload optimization is a plus.
* Familiarity with AI observability, model monitoring, and prompt management.

## Nice-to-Have Skills

* Experience with Kafka, Redis, RabbitMQ, or event-driven architectures.
* Experience with ArgoCD, Helm, or FluxCD.
* Knowledge of HIPAA, SOC 2, ISO 27001, or other security compliance frameworks.
* Experience supporting multi-region deployments and high-availability architectures.

## What We Offer

* Opportunity to work on cutting-edge AI and enterprise automation products.
* Collaborative and innovative engineering culture.
* Flexible work environment.
* Competitive salary and performance incentives.
* Career growth opportunities in AI infrastructure and cloud technologies.

40 hour a week role, offer is a monthly salary $500USD/mth
Salary will increase depending on performance on regular intervals

Only apply if you understand the above

We're a fast-scaling B2C platform looking for a senior DevOps + Solution Architect to lead the design and reliability of our AWS backend infrastructure. This is a high-impact role shaping the foundation of our production environment, not a tickets-only DevOps role.

What you'll own:

Solution Architecture & Systems Design
- Design end-to-end backend and infrastructure with scalability and reliability in mind
- Create architectural diagrams, technical documentation, data models
- Evaluate and recommend backend frameworks and platforms

Database & Data Modeling
- Design, optimize, and maintain PostgreSQL schemas on AWS RDS
- Define strategies for data integrity, performance, and recovery
- Implement and maintain data models that reflect business logic

Cloud Infrastructure
- Architect and manage AWS infrastructure (EC2, RDS, S3, EKS, CloudFront)
- Implement cost-effective, secure, scalable infrastructure
- Set up monitoring and alerting (Grafana, Prometheus, CloudWatch)

Data Integrity & Recovery
- Enforce data integrity through ACID transactions and idempotent API design
- Own backup and recovery strategy (PITR, read replicas, restore drills)
- Disaster recovery mechanisms across regions

What we're looking for:
- 8+ years in backend / infrastructure, ideally in high-scale production
- 5+ years in solution architecture or infrastructure design
- Expert PostgreSQL (relational design + performance tuning)
- Extensive AWS production experience
- Proficient with Docker, Kubernetes, CI/CD (GitLab CI / Jenkins)
- Hands-on with Grafana, Prometheus, Stackdriver

Soft skills:
- Strong communicator
- Self-starter
- Can mentor junior engineers

Bonus:
- Experience with distributed systems or microservices
- Track record in cost optimization and FinOps

If you're ready to architect production-grade infrastructure for a fast-moving team, let's talk.

We're a fast-scaling B2C platform looking for a senior DevOps + Solution Architect to lead the design and reliability of our AWS backend infrastructure. This is a high-impact role shaping the foundation of our production environment, not a tickets-only DevOps role.

What you'll own:

Solution Architecture & Systems Design
- Design end-to-end backend and infrastructure with scalability and reliability in mind
- Create architectural diagrams, technical documentation, data models
- Evaluate and recommend backend frameworks and platforms

Database & Data Modeling
- Design, optimize, and maintain PostgreSQL schemas on AWS RDS
- Define strategies for data integrity, performance, and recovery
- Implement and maintain data models that reflect business logic

Cloud Infrastructure
- Architect and manage AWS infrastructure (EC2, RDS, S3, EKS, CloudFront)
- Implement cost-effective, secure, scalable infrastructure
- Set up monitoring and alerting (Grafana, Prometheus, CloudWatch)

Data Integrity & Recovery
- Enforce data integrity through ACID transactions and idempotent API design
- Own backup and recovery strategy (PITR, read replicas, restore drills)
- Disaster recovery mechanisms across regions

What we're looking for:
- 8+ years in backend / infrastructure, ideally in high-scale production
- 5+ years in solution architecture or infrastructure design
- Expert PostgreSQL (relational design + performance tuning)
- Extensive AWS production experience
- Proficient with Docker, Kubernetes, CI/CD (GitLab CI / Jenkins)
- Hands-on with Grafana, Prometheus, Stackdriver

Soft skills:
- Strong communicator
- Self-starter
- Can mentor junior engineers

Bonus:
- Experience with distributed systems or microservices
- Track record in cost optimization and FinOps

If you're ready to architect production-grade infrastructure for a fast-moving team, let's talk.

We're a fast-scaling B2C platform looking for a senior DevOps + Solution Architect to lead the design and reliability of our AWS backend infrastructure. This is a high-impact role shaping the foundation of our production environment, not a tickets-only DevOps role.

What you'll own:

Solution Architecture & Systems Design
- Design end-to-end backend and infrastructure with scalability and reliability in mind
- Create architectural diagrams, technical documentation, data models
- Evaluate and recommend backend frameworks and platforms

Database & Data Modeling
- Design, optimize, and maintain PostgreSQL schemas on AWS RDS
- Define strategies for data integrity, performance, and recovery
- Implement and maintain data models that reflect business logic

Cloud Infrastructure
- Architect and manage AWS infrastructure (EC2, RDS, S3, EKS, CloudFront)
- Implement cost-effective, secure, scalable infrastructure
- Set up monitoring and alerting (Grafana, Prometheus, CloudWatch)

Data Integrity & Recovery
- Enforce data integrity through ACID transactions and idempotent API design
- Own backup and recovery strategy (PITR, read replicas, restore drills)
- Disaster recovery mechanisms across regions

What we're looking for:
- 8+ years in backend / infrastructure, ideally in high-scale production
- 5+ years in solution architecture or infrastructure design
- Expert PostgreSQL (relational design + performance tuning)
- Extensive AWS production experience
- Proficient with Docker, Kubernetes, CI/CD (GitLab CI / Jenkins)
- Hands-on with Grafana, Prometheus, Stackdriver

Soft skills:
- Strong communicator
- Self-starter
- Can mentor junior engineers

Bonus:
- Experience with distributed systems or microservices
- Track record in cost optimization and FinOps

If you're ready to architect production-grade infrastructure for a fast-moving team, let's talk.

I am looking for an experienced DevOps Kubernetes engineer with strong AWS EKS, Prometheus, and Grafana expertise.

I have a custom application running on AWS EKS that exposes custom metrics. Prometheus appears to be scraping the metrics, but the data is not showing up correctly in Grafana dashboards.

I need a short consultation session to:

* Review the current AWS EKS monitoring setup
* Verify AWS Managed Prometheus metric collection and scraping configuration
* Troubleshoot why custom metrics are not appearing in Grafana in AWS
* Identify the root cause and recommend a fix

Requirements:

* Strong experience with Kubernetes and AWS EKS
* Hands-on experience with AWS, Prometheus and Grafana
* Experience troubleshooting custom application metrics

We're a fast-scaling B2C platform looking for a senior DevOps + Solution Architect to lead the design and reliability of our AWS backend infrastructure. This is a high-impact role shaping the foundation of our production environment, not a tickets-only DevOps role.

What you'll own:

Solution Architecture & Systems Design
- Design end-to-end backend and infrastructure with scalability and reliability in mind
- Create architectural diagrams, technical documentation, data models
- Evaluate and recommend backend frameworks and platforms

Database & Data Modeling
- Design, optimize, and maintain PostgreSQL schemas on AWS RDS
- Define strategies for data integrity, performance, and recovery
- Implement and maintain data models that reflect business logic

Cloud Infrastructure
- Architect and manage AWS infrastructure (EC2, RDS, S3, EKS, CloudFront)
- Implement cost-effective, secure, scalable infrastructure
- Set up monitoring and alerting (Grafana, Prometheus, CloudWatch)

Data Integrity & Recovery
- Enforce data integrity through ACID transactions and idempotent API design
- Own backup and recovery strategy (PITR, read replicas, restore drills)
- Disaster recovery mechanisms across regions

What we're looking for:
- 8+ years in backend / infrastructure, ideally in high-scale production
- 5+ years in solution architecture or infrastructure design
- Expert PostgreSQL (relational design + performance tuning)
- Extensive AWS production experience
- Proficient with Docker, Kubernetes, CI/CD (GitLab CI / Jenkins)
- Hands-on with Grafana, Prometheus, Stackdriver

Soft skills:
- Strong communicator
- Self-starter
- Can mentor junior engineers

Bonus:
- Experience with distributed systems or microservices
- Track record in cost optimization and FinOps

If you're ready to architect production-grade infrastructure for a fast-moving team, let's talk.

We're an established team running an ongoing production platform and need a senior DevOps engineer to take ownership of our infrastructure end to end. This is not a task-by-task role — we want someone who can architect, build, and maintain the entire infrastructure as code and bring strong opinions on how things should be done.
What you'll own:

Design, build, and manage our full cloud infrastructure on AWS using Terraform (modular, reusable, version-controlled)
Architect and operate Kubernetes clusters (EKS) — deployments, scaling, networking, ingress, secrets management
Build and maintain robust CI/CD pipelines (GitHub Actions / GitLab CI) with automated testing, security gates, and zero-downtime deployments
Embed DevSecOps practices into the pipeline — secret scanning, IaC scanning, container image scanning, and policy-as-code
Set up monitoring, logging, and alerting (Prometheus, Grafana, CloudWatch, or similar)
Optimize for cost, reliability, and security across the stack

Must-have skills:

5+ years hands-on DevOps experience with production systems
Deep expertise in AWS and Terraform (this is non-negotiable — show us real IaC work)
Strong Kubernetes experience, ideally EKS
Proven CI/CD pipeline design from scratch
DevSecOps tooling experience (e.g., Trivy, Checkov, GitLeaks, SonarQube)
Solid scripting (Bash, Python) and Git workflow discipline

Nice to have:

Compliance exposure (SOC 2, PCI DSS, ISO 27001)
AIOps / automated incident response experience
Relevant certifications (AWS, CKA/CKAD, Terraform Associate)

Engagement: Ongoing, long-term. Starting part-time with potential to scale up based on fit. Please share your hourly rate or preferred structure.
To apply:

Start your proposal with the word "INFRA" so we know you read this fully.
Briefly describe one infrastructure you built end to end with Terraform — what it ran on, the scale, and one hard problem you solved.
Share a GitHub repo or sanitized code sample of your Terraform/IaC work if you have one.

Generic copy-paste proposals will be ignored. We're looking for a builder who treats our infrastructure like their own.

We are looking for a hands-on engineer who enjoys solving complex infrastructure challenges, automating everything possible, and building reliable cloud platforms at scale.

Location: Fully Remote
Employment Type: Part-Time / Full-Time
Experience Level: Senior (5+ Years)

About the Role
We are seeking an experienced Senior AWS/DevOps Engineer to design, build, automate, and maintain scalable cloud infrastructure and deployment pipelines. The ideal candidate has deep expertise in AWS, Infrastructure as Code, CI/CD automation, containerization, and cloud security, with a strong focus on reliability, performance, and operational excellence.

Key Responsibilities
Design, implement, and manage highly available, secure, and scalable AWS infrastructure.
Build and maintain CI/CD pipelines to support rapid and reliable software delivery.
Automate infrastructure provisioning and configuration management using Infrastructure as Code (IaC).
Manage and optimize containerized workloads using Docker and Kubernetes.
Monitor system performance, troubleshoot production issues, and implement preventive measures.
Collaborate closely with software engineering, security, and product teams.
Implement cloud security best practices, access controls, and compliance requirements.
Optimize cloud costs while maintaining performance and reliability.
Lead infrastructure modernization initiatives and mentor junior engineers.
Create and maintain technical documentation and operational runbooks.
Required Qualifications
5+ years of experience in DevOps, Site Reliability Engineering (SRE), or Cloud Engineering roles.
Strong hands-on experience with AWS services, including:
EC2
ECS/EKS
Lambda
VPC
IAM
RDS
S3
CloudFront
Route 53
CloudWatch
Expertise with Infrastructure as Code tools such as Terraform or CloudFormation.
Experience building CI/CD pipelines using tools like GitHub Actions, GitLab CI, Jenkins, or CircleCI.
Strong experience with Docker and Kubernetes.
Proficiency in scripting and automation using Python, Bash, or similar languages.
Experience implementing monitoring, logging, and observability solutions.
Strong understanding of networking, security, and cloud architecture principles.
Excellent troubleshooting, communication, and collaboration skills.
Preferred Qualifications
AWS certifications (Solutions Architect, DevOps Engineer Professional, or similar).
Experience with multi-account AWS environments.
Familiarity with security frameworks and compliance standards.
Experience with Prometheus, Grafana, ELK/OpenSearch, Datadog, or similar observability platforms.
Knowledge of serverless architectures and event-driven systems.
Experience supporting high-traffic production environments.

What We Offer
Competitive rates and benefits package.
Flexible work arrangements.
Opportunity to work with modern cloud technologies.
Professional development.
Collaborative, engineering-focused culture.
High-impact projects with significant ownership and autonomy.

How to Apply

Please share your relevant experience with similar project.
A brief summary of your AWS and DevOps experience
Relevant certifications (if any)
Links to GitHub, or portfolio projects

• Describe your recent experience with similar projects
• Please list any certifications related to this project

We are looking for a hands-on DevOps and Data Platform Engineer to join our team and help take SenseStack to the next level.

Technical skills are important, but our primary hiring criteria are communication, ownership, responsiveness, and the ability to deliver.

Important: How We Hire

We are not looking for someone who can simply talk about infrastructure.

We are looking for someone who can:

* Join a call today
* Understand a problem quickly
* Communicate clearly
* Propose a solution
* Implement a small task the same day
* Document what was done
* Work collaboratively with our team

The successful candidate will complete a paid trial task before any long-term engagement.

Location Requirements

* Ireland, UK, or European time zones only
* Must be available during Irish business hours
* Strong spoken and written English required
* Comfortable joining video calls and working closely with founders and engineers

What You’ll Be Working On

Infrastructure

* Linux servers
* Hetzner cloud infrastructure
* Docker and Docker Compose
* Server automation and configuration management
* Security, backups, monitoring, and disaster recovery

Observability & Monitoring

* Grafana
* Prometheus
* Grafana Alloy
* Node Exporter
* cAdvisor
* Alerting and operational dashboards

Data Platform

* InfluxDB
* Time-series database management
* Data retention policies
* Data lifecycle management
* Telemetry storage optimisation
* Backup and recovery

Data Pipelines

* ETL / ELT pipelines
* n8n automation workflows
* API integrations
* Data ingestion and processing
* Operational reporting

SenseStack

SenseStack is building operational readiness infrastructure for saunas, plunges, and wellness environments.

You’ll help us manage:

* Sensor telemetry
* IoT infrastructure
* Device monitoring
* Cloud infrastructure
* Production observability
* Data reliability

Required Skills

* Linux administration
* Docker
* Grafana
* Prometheus
* InfluxDB
* ETL pipelines
* API integrations
* Git workflows

Success Criteria

The person we hire:

* Responds quickly
* Communicates clearly
* Delivers what they commit to
* Documents their work
* Raises issues early
* Takes ownership of outcomes
* Wants to be part of a growing team

Trial Task

Before any ongoing engagement, candidates should be willing to:

* Join a discovery call
* Complete a small paid technical task
* Deliver the task within the agreed timeframe
* Explain their approach and decisions

If you enjoy solving real infrastructure and data challenges and want to help build a fast-moving IoT startup, we’d like to hear from you.

We're looking for a senior ML / MLOps engineer. Long-term engagement, starting part-time with strong potential to grow into full-time.

This is not a pure infrastructure role: you'll own both the ML infrastructure and the models themselves. You should move comfortably between a model's confusion matrix and its Kubernetes deployment manifest.

WHAT WE EXPECT

- Design and run model drift monitoring in production (data/concept drift, alerting, dashboards)
- Build automated evaluation and performance gates into CI/CD pipelines for model promotion
- Implement and enforce a Model Registry workflow (MLflow) with approvals and full lineage
- Deploy and operate model serving on Kubernetes (ONNX Runtime, KServe or equivalent), including canary rollouts and rollback
- Understand, evaluate, and improve existing models: rigorous evaluation (golden datasets, per-class performance, failure modes), retraining and model improvements when needed
- Deploy CV models on-device (mobile) for real-time auto-detection during camera capture: model conversion and quantization (ONNX Runtime Mobile / LiteRT / Core ML), working with camera frames and device sensors
- Work in a disciplined, well-documented way: design notes, reproducible pipelines, traceable changes

REQUIREMENTS

- 5+ years in ML engineering / MLOps with production Kubernetes (EKS preferred)
- Hands-on model development (PyTorch/TensorFlow) and computer vision experience
- MLflow (tracking + registry), model serving (ONNX Runtime / KServe / Triton)
- GitHub Actions or equivalent, Terraform or comparable IaC, Python
- ML observability: Prometheus/Grafana, drift detection approaches
- Clear written English

Nice to have: on-device / edge ML deployment (LiteRT, Core ML, ONNX Runtime Mobile) with real-time camera-frame inference; AWS (EKS, Step Functions, SageMaker); Flagger/Argo Rollouts; classical image processing.

ENGAGEMENT

Long-term (6+ months, likely much longer). Async-first via Slack/GitHub, weekly syncs; 2-3 hours of overlap with UTC+3 needed. NDA required.

HOW TO APPLY

In your proposal, tell us about the most relevant production ML system you've owned and why this role fits you. Start your proposal with the word "PYTORCH" so we know you've read the full posting.

Please also answer the screening questions - proposals with skipped or generic screening answers will not be considered.

• Describe a production ML system you built or matured: how did model promotion, rollback, and monitoring work?
• Give an example where you improved an existing model's performance: how did you diagnose the problem, what did you change, and how did you validate the improvement?
• Have you deployed ML models on-device (mobile)? If yes, which runtime (LiteRT / Core ML / ONNX Runtime Mobile) and what was the use case?

We are seeking passionate and talented AI Software Development Engineers to join our growing team and help build next-generation AI-powered applications and platforms. You will work on modern full-stack development, Generative AI solutions, Retrieval-Augmented Generation (RAG), cloud-native technologies, and scalable software systems.

We are hiring across the following levels:

AI Software Development Engineer (Junior) – SDE1

Experience: 1–2 Years

Key Skills:

Python, FastAPI
React, Tailwind CSS
REST APIs
Git, Docker
Prompt Engineering
Embeddings & Vector Databases (Chroma, Pinecone)
AI Application Fundamentals
Ideal For: Early-career engineers with strong programming fundamentals and a passion for learning AI and modern software development.



AI Software Development Engineer – SDE2 (Mid-Level)

Experience: 2–4 Years

Key Skills:

Python, FastAPI
React, Next.js/Remix, Tailwind CSS
LLM Integrations
Retrieval-Augmented Generation (RAG)
Hybrid Search & Re-ranking
Docker, Kubernetes, Terraform
CI/CD, OAuth2
Prometheus, Grafana, OpenTelemetry
Ideal For: Engineers who can independently develop production-ready AI applications and contribute to scalable AI workflows.



AI Software Development Engineer – SDE3 (Senior)

Experience: 4–6 Years

Key Skills:

System Design & Microservices
Python, FastAPI
React, Next.js/Remix
Advanced RAG Architectures
LLM Engineering & AI Evaluation Frameworks
Data Pipelines & Data Quality
Kubernetes, Terraform, Cloud Platforms (AWS/Azure/GCP)
Security, Observability & Technical Leadership
Ideal For: Senior engineers capable of designing scalable AI systems, driving architecture decisions, and mentoring engineering teams.



Preferred Qualifications

Experience with Generative AI and LLM-based applications
Exposure to LangChain or similar orchestration frameworks
Experience with Vector Databases and Semantic Search
Cloud Platform experience (AWS, Azure, GCP)
Experience working in distributed or multicultural teams
Japanese language proficiency is a plus
Language Requirements

English: Working proficiency required
Japanese: Preferred for India-based roles; required for Japan-based or customer-facing positions


ABOUT BRICKRED SYSTEMS

BrickRed Systems is a global leader in next-generation technology, consulting, and business process services. The company helps organizations accelerate digital transformation through innovative, scalable, and high-impact solutions across industries worldwide.

With ISO 27001 and ISO 9001 certifications and over a decade of experience, BrickRed Systems leverages cloud computing, analytics, hyper-automation, robotics, cognitive computing, and emerging technologies to deliver measurable business outcomes.

The organization fosters a strong continuous learning culture, enabling clients and talent to build future-ready digital capabilities and maintain a competitive edge in a rapidly evolving global marketplace.

Database Administrator (DBA) — Contract (Remote)
Type: Contract | Hourly
Rate: ~$10/hour USD
Location: Remote (Worldwide)
Experience Required: 6+ years
Conversion: Strong performers may be considered for full-time engagement


About the Role
We're looking for an experienced Database Administrator to join our team on a contract basis. You'll take ownership of enterprise database environments — keeping them healthy, secure, and performant across production and non-production systems. This is a hands-on role: you'll be deep in query tuning one day and designing DR strategies the next.
We work across a modern stack that includes both on-prem and cloud databases (AWS/Azure), and we need someone who can operate independently, communicate clearly, and deliver reliably in a remote-first environment.

What You'll Do
1. Day-to-day administration

Install, configure, patch, and maintain database platforms across production, dev, test, and DR environments
Monitor health, availability, performance, and capacity — and act proactively on findings
Perform migrations, upgrades, and version management

2. Performance & optimization

Tune SQL queries, stored procedures, and database objects
Diagnose and resolve locking, deadlock, and resource contention issues
Conduct periodic performance assessments and implement improvements

3. Backup, HA & DR

Design and own backup/recovery strategies; validate regularly
Implement and maintain HA/DR solutions (clustering, replication, log shipping, failover)
Ensure RPO/RTO targets are met

4. Security & compliance

Manage access controls, roles, permissions, and authentication
Implement encryption at rest and in transit
Conduct security audits; monitor for unauthorized access

5. Cloud & automation

Manage cloud database services (AWS RDS/Aurora, Azure SQL/Managed Instance)
Automate routine DBA tasks with scripting; support CI/CD database pipelines
Collaborate with DevOps on infrastructure automation

6. Documentation & collaboration

Maintain architecture diagrams, runbooks, and SOPs
Prepare capacity planning and health reports
Work closely with developers, DevOps, and business stakeholders

Required Skills & Experience

6+ years of hands-on Database Administration experience in production environments
Proficiency in one or more of: Microsoft SQL Server, PostgreSQL, MySQL/MariaDB, Oracle Database
Advanced SQL writing, query optimization, and execution plan analysis
Solid experience with HA/DR design and implementation
Database security and access management
Cloud database experience: AWS RDS/Aurora or Azure SQL Database / Managed Instance
Scripting in PowerShell, Bash/Shell, or Python for automation
Familiarity with monitoring tools (Grafana, CloudWatch, Datadog, Prometheus, or similar)

Nice to Have

Experience with MongoDB or other NoSQL databases
Infrastructure automation (Terraform, CloudFormation)
CI/CD integration for database schema management (e.g., Flyway, Liquibase)
Kubernetes / containerized database deployments
Data warehousing or ETL experience
Industry background in finance, healthcare, or other regulated sectors
Relevant certifications: AWS Certified Database – Specialty, Azure Database Administrator Associate, OCP, or similar

What We're Looking For in a Person

Works independently without hand-holding
Communicates blockers and updates clearly and proactively
Strong documentation habits
Comfortable in a fast-paced, cross-functional environment
Reliable availability and responsiveness during agreed hours

Engagement Details

Contract type: Hourly, ongoing
Rate: ~$10/hour USD
Hours: Part-time to full-time depending on workload
Time zone flexibility: Remote-friendly; overlap with [your time zone] preferred
Path to full-time: Top performers will be considered for a permanent role

• Do you have 6 or more years of hands-on experience as a Database Administrator managing production environments?
• How many years have you worked with cloud-managed database services such as AWS RDS, Aurora, Azure SQL Database, or Azure Managed Instance?
• On a scale of 1 to 10, how would you rate your SQL query optimization and performance tuning skills — including execution plan analysis and resolving locking/deadlock issues?
• Have you designed and implemented High Availability (HA) and Disaster Recovery (DR) solutions for enterprise databases (e.g., Always On, replication, clustering, log shipping)?
• How many years of scripting experience do you have for database automation (PowerShell, Bash, or Python)?

Job Description
We are looking for an experienced Infrastructure / DevOps Engineer to manage, optimize, and troubleshoot our production environment hosted in our own data center.

Our platform includes a large-scale mail application, distributed databases, load-balanced backend services, CI/CD pipelines, storage clusters, monitoring systems, and native mobile applications.

The ideal candidate should have strong experience in Linux server administration, networking, performance optimization, load balancing, mail infrastructure, database replication, and distributed systems.

Current Infrastructure
- Mail platform powered by Mailcow (email sending and receiving)
- Multiple application servers with load balancing
- Frontend web infrastructure with load balancing
- Backend API infrastructure with load balancing
- 4 PostgreSQL/MySQL database servers with replication and load balancing
- 2 CI/CD pipeline servers
- Ceph storage cluster for media and file management
- Monitoring and alerting servers
- Android and iOS applications consuming backend APIs
- Self-hosted data center environment

Primary Responsibilities
- Analyze and resolve infrastructure performance bottlenecks
- Troubleshoot network latency, bandwidth limitations, and timeout issues
- Optimize communication between application servers, database servers, Mailcow, Ceph, and load balancers
- Monitor and improve API response times under concurrent user load
- Investigate and resolve slowdowns occurring when multiple users access the system simultaneously
- Review server architecture and recommend infrastructure improvements
- Optimize database replication and query performance
- Analyze load balancer configuration and traffic distribution
- Improve system scalability, availability, and reliability
- Implement performance monitoring, alerting, and capacity planning
- Support CI/CD pipelines and deployment automation
- Maintain security, backups, and disaster recovery processes

Required Skills
- Linux Administration (Ubuntu, Debian, CentOS, RHEL)
- Mail Server Management (Mailcow, Postfix, Dovecot)
- Networking (TCP/IP, DNS, Routing, Firewall, NAT, VPN)
- Load Balancers (HAProxy, Nginx, Traefik, PgPool, etc.)
- Database Replication and Performance Tuning
- Ceph Storage Administration
- Docker and Containerized Services
- CI/CD Pipelines
- Monitoring Tools (Prometheus, Grafana, Zabbix, ELK, etc.)
- Performance Profiling and Troubleshooting
- High Availability and Distributed Systems

Current Challenge
The infrastructure is already deployed and operational. However, we are experiencing performance issues under concurrent usage.
Examples include:
- API timeouts
- Slow response times when 10+ users access the system simultaneously
- Delays when backend services communicate with Mailcow
- Potential networking, bandwidth, load balancing, or infrastructure bottlenecks

The engineer's first objective will be to identify the root cause of these performance issues and implement solutions to ensure stable, scalable, and high-performance operation.

Engagement
- Full-Time / Part-Time / Contract
- Remote
- Immediate Joining Preferred

Please share:
- Relevant infrastructure experience
- Previous projects involving mail systems or large-scale distributed environments
- Availability
- Expected compensation

Experience: 3–5 Years (Relevant GCP Experience Required)

Role Overview:
We are seeking a skilled GCP Cloud Engineer with strong DevOps expertise to build, automate, and optimize scalable cloud infrastructure. The ideal candidate will have hands-on experience with Google Cloud Platform, CI/CD automation, Infrastructure as Code, Kubernetes, and cloud operations.

Key Responsibilities:

Design, deploy, and manage scalable cloud infrastructure on GCP.
Automate deployments and operational workflows using Terraform and Ansible.
Build and maintain CI/CD pipelines using Jenkins, GitHub Actions, or GitLab CI.
Manage containerized applications using Docker and Kubernetes.
Monitor cloud environments, optimize performance, cost, and security.
Troubleshoot production issues and support high-availability systems.
Collaborate with development, QA, and operations teams to improve release efficiency and system reliability.

Required Skills:

3–5 years of experience in GCP Cloud Engineering and DevOps.
Strong knowledge of GCP services, cloud-native architectures, and infrastructure management.
Hands-on experience with Terraform, Ansible, Docker, and Kubernetes.
Experience with CI/CD tools such as Jenkins, GitHub Actions, or GitLab CI/CD.
Strong Linux administration and scripting skills (Python, Bash, or PowerShell).
Understanding of IAM, RBAC, SSO/SAML, networking, security, and monitoring tools.
Experience with observability tools such as Prometheus, Grafana, and ELK Stack.

Skills: Linux, Cloud Computing, Amazon Web Services, Network Administration, Google Cloud Platform, Kubernetes, DevOps, Ansible, Terraform, CI/CD

Senior AWS Platform / Data Ingestion Engineer — Contract

We are looking for a senior hands-on AWS engineer to help deliver the later phases of an AWS platform migration from an on-prem kubernetes cluster for a data-heavy analytics platform.

The work focuses on decoupling existing ingestion interfaces, deploying application workloads onto AWS EKS, and setting up observability across non-production and production AWS environments.

The project will be delivered using Linear via an agent first approach

Scope of work

You will help deliver the following areas all as IaC:

1. Ingestion decoupling

Refactor 6 x existing ingestion collectors so raw payloads are written to S3 first using deterministic object keys, before being processed into downstream datastores.

For each interface, you will help implement or validate:

Raw payload landing to S3
S3 event-driven processing via SQS
Writer components that process landed data
DynamoDB checkpointing or ledger patterns
Dead-letter queues
S3-based reconciliation and replay patterns
Deployment to both non-production and production AWS accounts
End-to-end testing against live data sources

2. Application deployment

Support deployment of existing application workloads onto the AWS platform using Flux and Kustomize.

This includes:

Structuring GitOps repositories
Creating or refining Kustomize overlays
Deploying Kubernetes workloads to EKS
Supporting API Gateway integration
Deploying multiple backend services and worker services
Supporting Argo WorkflowTemplates and CronWorkflows
Configuring per-region workload overlays
Supporting an existing Amplify frontend deployment
Working with fresh Cognito pools per environment

3. Observability

Help configure a Grafana LGTM-based observability stack, including validation that the service is reachable and able to receive telemetry such as OTLP traces.

Required skills

You should have strong hands-on experience with:

Using Codex or Claude Code as coding assistants
AWS S3, SQS, DynamoDB, IAM, CloudWatch, AWS Lambda and event-driven architecture
Designing reliable ingestion pipelines with replay, reconciliation and failure handling
Kubernetes and EKS
Flux, Kustomize and GitOps deployment patterns
Argo Workflows, WorkflowTemplates and CronWorkflows
CI/CD pipelines, ideally GitLab CI or GitHub Actions
Debugging distributed systems across AWS, Kubernetes and live external APIs
Infrastructure and application deployment across separate non-production and production accounts
Highly desirable experience

Experience with any of the following would be valuable:

Grafana LGTM stack, OpenTelemetry and OTLP
Python and/or Node.js ingestion services
AWS Amplify and Cognito
Multi-account AWS environments

Type of person we are looking for:

This role suits someone who is comfortable joining an existing delivery project, reading the current code and infrastructure, and making pragmatic changes without unnecessary redesign. We already have as-is documentation for the environment.

You should be able to work independently, communicate clearly, document decisions, and focus on getting reliable end-to-end deployments working across both non-production and production environments.

This is a hands-on delivery role, not an architecture-only advisory role.

• Describe your recent experience with similar projects

Senior Site Reliability Engineer
Remote | Contract | $40-$50/hour
About Blitzy
Blitzy is a Cambridge, MA-based AI software development platform transforming how enterprises build software. Our agentic platform autonomously executes 80% of the software development lifecycle - turning enterprise requirements into production-ready code. We're backed by tier 1 investors and serve Fortune 500 customers.
The Role
We're looking for a Senior SRE to own reliability, scalability, and operational excellence for our AI-powered development platform. This is a hands-on role for an engineer who takes deep ownership of the systems they build and thrives in a fast-moving environment.
What You'll Own

Design, build, and operate scalable, fault-tolerant infrastructure across cloud environments (AWS preferred)
Define and enforce SLOs, SLAs, and error budgets; lead blameless postmortems
Build and maintain CI/CD pipelines, release automation, and deployment infrastructure
Own observability: logging, metrics, tracing, and alerting (Prometheus, Grafana, Datadog, OpenTelemetry)
Partner with software engineering teams to embed reliability practices into the development lifecycle
Drive capacity planning, performance benchmarking, and cost optimization
Champion security best practices within infrastructure and deployment layers

Required Experience

5+ years in Site Reliability Engineering, DevOps, or Infrastructure Engineering
Strong proficiency in at least one major cloud platform (AWS preferred)
Hands-on with Kubernetes and container orchestration at scale
Experience with infrastructure-as-code tools (Terraform, Pulumi, or equivalent)
Proven track record with high-availability, distributed systems
Deep expertise in observability tooling, incident management, and on-call practices
Strong scripting and automation skills (Python, Go, Bash, or similar)

What Makes You Stand Out

Experience supporting AI/ML workloads or GPU-accelerated infrastructure
Familiarity with eBPF, service mesh technologies (Istio, Linkerd), or advanced networking
Prior experience in a high-growth startup
Contributions to open-source SRE/DevOps tooling
Experience with global, multi-region infrastructure

How to Apply
To be considered, you must complete our technical assessment as the first step. This is mandatory for all applicants.
Step 1 - Complete the technical assessment:
(link removed)
Please complete this before or immediately after submitting your proposal. Your performance on this assessment will be heavily weighted in our evaluation. You are welcome to use any online resources.
Step 2 - Interviews with Blitzy management
Step 3 - Offer notification with timeline to accept
How We Work
We move fast, take ownership, and hold each other to high standards. We're pushing the frontier of what's possible in software development and we work for the customer above all else.

About The Product

We are building a B2B SaaS platform focused on marketing attribution, conversion tracking, revenue measurement and privacy-conscious data collection.

The platform helps businesses understand the difference between platform-reported performance and actual business outcomes by connecting advertising platforms, websites, CRM systems and revenue sources.

Because the platform operates in a privacy-sensitive environment and processes attribution, tracking and revenue data, accuracy, reliability and data integrity are critical.

Our customers rely on the platform to make marketing and business decisions. A bug, release issue or implementation mistake can impact reporting, attribution, revenue calculations, privacy-related functionality and customer trust.

We are looking for a technically strong engineer who can help ensure the platform remains stable, secure, maintainable and production-ready as it grows.

⸻

The Role

We are looking for a Part-Time QA, Release & Platform Engineer who will act as an independent technical reviewer and quality gate between development and production.

Your primary responsibility is ensuring that software quality, release quality and infrastructure quality remain high as the product evolves.

You will work closely with the lead developer and founder while maintaining an independent technical perspective.

You will help ensure that bugs, regressions, deployment mistakes, security risks and technical debt are identified before they impact customers.

This role combines:

* Quality Assurance
* Release Management
* Code Review
* Infrastructure Oversight
* Technical Documentation
* Occasional Hands-On Engineering

⸻

Technical Stack

Languages

* TypeScript
* SQL (PostgreSQL)

Frontend

* Next.js 14
* React
* App Router
* Tailwind CSS
* shadcn/ui

Backend

* Bun
* Hono
* Prisma
* Kysely
* Better Auth

Data & Queueing

* PostgreSQL 16
* JSONB
* Row Level Security (RLS)
* Redis
* BullMQ

Integrations

* Stripe Billing
* Usage Metering
* Resend
* React Email

Infrastructure

* Hetzner Kubernetes Engine
* Kubernetes Secrets
* S3-compatible storage
* GitHub Actions
* ArgoCD
* Grafana
* Loki
* Prometheus

You do not need to be an expert in every tool, but you should be senior enough to understand how these systems interact and be able to identify risks and improvement opportunities.

⸻

Responsibilities

Quality Assurance & Testing

* Feature validation
* Regression testing
* Release testing
* Acceptance testing
* Bug reproduction
* Integration testing
* User flow testing
* Tracking validation
* Revenue attribution validation
* Test gate improvements

You should be comfortable validating functionality across:

* Frontend applications
* APIs
* Tracking systems
* CRM integrations
* Revenue integrations
* Reporting systems
* Customer onboarding flows
* User permissions and access controls
* Privacy and consent-related functionality

⸻

Code Review & Technical Oversight

You will regularly review development work and provide technical feedback.

You should be comfortable reviewing:

Frontend

* Next.js
* React
* TypeScript
* User flows
* Responsive behaviour
* Product requirements

Backend

* Bun
* Hono
* APIs
* Authentication flows
* Database interactions
* Business logic
* Data processing workflows

Your focus is not only whether code works, but whether it is:

* Maintainable
* Scalable
* Secure
* Well structured
* Consistent with project standards

You should be able to identify:

* Technical debt
* Architectural risks
* Security risks
* Privacy-related implementation risks
* Improper handling of sensitive data
* Permission and access control issues

⸻

GitHub, CI/CD & Release Management

You will help maintain a professional software delivery process.

This includes:

* Branching strategies
* Pull request workflows
* Protected branches
* Merge policies
* GitHub Actions
* CI/CD pipelines
* Release validation
* Deployment workflows
* Staging reviews
* Production release reviews
* Rollback planning

⸻

Infrastructure Oversight

You do not need to be a dedicated DevOps engineer.

However, you should be comfortable reviewing infrastructure health and identifying operational risks.

This includes:

* Kubernetes environments
* Docker environments
* Deployment health
* Monitoring dashboards
* Logs and alerts
* Resource usage
* Environment configuration
* Secrets management
* Access control reviews
* Security-related deployment risks

⸻

Technical Contributions

While the primary focus of this role is quality assurance, release management and technical oversight, you should also be comfortable making occasional technical improvements and fixes when appropriate.

Examples include:

* Small frontend fixes
* Small backend fixes
* CI/CD improvements
* GitHub workflow improvements
* Documentation improvements
* Monitoring improvements
* Configuration changes
* Infrastructure-related improvements

You will not be responsible for building major product features, but you should be comfortable contributing directly to the codebase when needed.

⸻

Requirements

Required Experience

* 5+ years of professional software development, QA engineering, release engineering, DevOps or platform engineering experience
* 3+ years of experience working with modern TypeScript applications
* 3+ years of experience reviewing production code
* 3+ years of experience with GitHub workflows and pull request reviews
* 2+ years of experience with CI/CD pipelines and release processes
* Experience working on production SaaS applications

Must Have

* Strong experience with TypeScript
* Strong experience with Next.js and React
* Strong experience reviewing backend application code
* Experience with modern TypeScript backend frameworks or runtimes
* Strong understanding of APIs and backend service design
* Strong understanding of PostgreSQL and SQL
* Experience with GitHub pull request workflows
* Experience with GitHub Actions and CI/CD pipelines
* Experience reviewing code for maintainability, security and scalability
* Strong understanding of QA and release management processes
* Strong written and spoken English

Nice To Have

* Bun experience
* Hono experience
* Prisma experience
* Kysely experience
* PostgreSQL Row Level Security experience
* Redis / BullMQ experience
* Kubernetes experience
* ArgoCD experience
* Grafana, Loki or Prometheus experience
* Stripe Billing experience
* Application security experience
* Privacy/GDPR-sensitive product experience
* SaaS analytics, attribution or data platform experience

⸻

What Success Looks Like

* GitHub workflows are clean and protected
* Releases are predictable and well-tested
* CI/CD pipelines are reliable
* Test coverage has improved
* Technical debt is visible and controlled
* Infrastructure is stable and monitored
* Security and privacy risks are identified early
* Frontend implementations match requirements
* Bugs and regressions are caught before production
* Developers receive actionable technical feedback

In short, your role is to ensure that poor code, broken functionality, infrastructure issues and risky releases never reach production while helping maintain a high engineering standard across the platform.

We are looking for an experienced Golang Developer and DevOps Engineer to design, develop, deploy, and maintain scalable backend applications and cloud infrastructure.

Responsibilities:

Develop and maintain backend services and APIs using Go (Golang).
Design and optimize microservices architectures.
Build and manage CI/CD pipelines.
Deploy and maintain applications in cloud environments such as AWS, Azure, or GCP.
Manage containerized workloads using Docker and Kubernetes.
Implement infrastructure as code using Terraform or similar tools.
Monitor system performance, reliability, and security.
Troubleshoot production issues and optimize system availability.

Required Skills:

Strong experience with Go (Golang).
Experience with REST APIs, gRPC, and microservices.
Proficiency with Docker, Kubernetes, and container orchestration.
Experience with CI/CD tools such as Jenkins, GitHub Actions, or GitLab CI.
Knowledge of cloud platforms (AWS preferred).
Experience with Terraform, Ansible, or other Infrastructure-as-Code tools.
Familiarity with Linux administration, networking, and security best practices.
Experience with monitoring and logging tools such as Prometheus, Grafana, ELK, or OpenTelemetry.

Preferred Qualifications:

Experience building highly available distributed systems.
Knowledge of database technologies such as PostgreSQL, MySQL, Redis, or MongoDB.
Understanding of DevSecOps practices and cloud security.

Please include relevant project experience, technology stack expertise, availability, and expected rate when applying.

I have a Raspberry Pi ready to become the brain of our new Smart Museum Preservation System. Your task is to design the complete IoT solution—both the electronics and the code—that continuously tracks temperature, humidity and light levels through digital sensors.

Whenever any of those readings drift outside a curator-defined range, the system must immediately trigger an on-site alarm, push configurable notifications (email and/or SMS) and, where possible, drive actuators to bring the environment back to safe levels (for example, start a fan, close blinds or activate a humidifier).

You will be free to choose the most reliable digital sensors, but they must interface cleanly with Raspberry Pi GPIO and be available through common distributors. I expect clean, well-commented code—preferably in Python—with a simple dashboard or web interface that shows live data and allows threshold adjustments. MQTT or similar lightweight messaging is welcome for internal communication; Grafana, Node-RED or comparable tools can be used if they speed development without bloating the Pi.

Deliverables:
• Schematic and parts list for the sensor and actuator wiring
• Fully documented Pi image or installation script containing all software components
• Source code repository with README covering setup, calibration and operation
• Short video or screenshots demonstrating alarms, notifications and automatic adjustment in action
• Post-handover support for initial deployment questions

Acceptance criteria: after installation, the system logs data for 24 hours, correctly identifies at least one out-of-range event per parameter when forced during testing, executes all three responses, and restores readings to within tolerance.

If you are confident working end-to-end on IoT projects and can meet those criteria, let’s safeguard these artefacts together.

Skills: Python, Electronics, Software Architecture, MQTT, Raspberry Pi, Documentation, Internet of Things (IoT), Alarm Systems

Join our startup as an Agentic AI developer and bring expertise in Claude Code and full stack software development. You'll work on building new features, enhancing, fixing issues, integrating AI models into our platform, enhancing user interactions, and optimizing system performance.

The platform is ready for launch to B2C and B2B
Platform - Python backend, Flutter App on iOS/Android/Web, Website in NextJS/Tailwind
Backend (Python) - API Driven, Scalable
Frontend App - IOS, Android, Web in Flutter,
Website - NextJS, Tailwind
Infrastructure - Docker, CICD, Giithub, Terraform, AWS
Observability - Langfuse, Proemtheus, Grafana, Logging
Exceptions - Sentry
Domain - Fashion and Beauty
AI payload - Text, Images (multimodal)

DESIRED QUALITIES
- SOFTWARE ENGINEERING - Software Engineer at core with coding and design experience using Python, Javascript, Java and popular open source libraries in your earlier life
- INDEPENDENT CONTRIBUTOR
- AGENTIC AI - You are comfortable to make AI agents write 100% code - new, enhance, fix, triage, refactor. Claude code is our AI tooling.
- FAST LEARNER- An avid reader, curious, quickly understands the core concepts, connects the dots.
- PACE - This is a startup. You start slow and eventually grow into a key support pillar for the platform
- COLLABORATION - Humble, Good communication, Very Responsive,
- COMFORTABLE - agents, skills, prompts, direct agents to code and interrupt
- OBJECTIVE - you aim to become a member of the startup and grow along with the growth of startup.


CONTRIBUTION
- Contribute to all phases of SDLC - Coding, Testing, CICD, Infrastructure, AWS deployment, Software Release etc
- Immidiate need - Firm up the monitoring, traceabiility dashboards, triaging and support, Evaluate model performance using LLM-as-a-Judge. Support for scaling the platform. Add features to platform

• Give me a succint summary of yourself - portfolio, projects, activities, anything that helps in driving conversation further
• Agentic AI comfort - Although I'm not seeking experts, please illustrate the universe of things you know that tells me you can do 100% claude agents driven development with human intervention
• Independent contributor is somebody who can work with minimal direction with perhaps Claude as your onboarding assistant. Which parts of SDLC are you very comfortable to say yes
• Software Engineering - This is software engineer role who appreciates the importance of modularity, reusability , design patterns, open source libs, testing, troubleshooting issues. Craft your own personal statement on this topic.
• Motivation and Drive - Please state your expectations on monetary benefits, opportunity to learn and grow, become a key pillar as part of this initiative or anything else